Correlates of exposure to secondhand smoke (SHS) at home among non-smoking adults in Bangladesh: findings from the ITC Bangladesh survey

Assessing the choice of smoke-free policies for multiunit housing and its associated determinants in Bangladesh: a cross-sectional study

OBJECTIVES

This study aimed to assess the desire for smoke-free housing, determine the choice of smoke-free policies for multiunit housing (MUH), and identify the factors associated with policy choice among MUH residents in Bangladesh.

DESIGN

We conducted a cross-sectional study from April to November 2019 using a semi-structured survey questionnaire.

SETTING

This study was conducted in seven divisional cities of Bangladesh: Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur.

PARTICIPANTS

A total of 616 adult individuals living in MUH for at least 2 years participated in the study.

PRIMARY OUTCOME MEASURE

Multinomial logistic regression was used to identify the determinants of the choice of smoke-free policies for MUH.

RESULTS

Overall, 94.8% of the respondents wanted smoke-free housing. Among those who wanted smoke-free housing, 44.9% preferred a smoke-free building policy, 28.3% preferred a smoke-free common area policy, 20.2% favoured a smoke-free unit policy, and 6.7% did not know what policy they should choose. Three factors were found to be significantly associated with the choice of a smoke-free building policy: staying at home for more than 12 hours (adjusted OR (aOR): 2.6; 95% CI 1.035 to 6.493), being a non-smoker (aOR: 3.2; 95% CI 1.317 to 7.582), and having at least one family member who smoked (aOR: 3.0; 95% CI 1.058 to 8.422). Results also showed that residents having at least one child under 15 in the family (aOR: 0.3; 95% CI 0.152 to 0.778) were less likely to choose a smoke-free common area policy and that women (aOR: 3.7; 95% CI 1.024 to 13.188) were more likely to choose a smoke-free unit policy.

CONCLUSIONS

MUH residents in urban Bangladesh highly demanded smoke-free housing. Most residents favoured a smoke-free building policy for MUH. Those who stayed at home for a longer time, were non-smokers, and had smoking family members were more likely to choose this policy.

National and regional economic inequalities in first- and second-hand tobacco consumption among women of reproductive ages in Iran

INTRODUCTION

The epidemic of tobacco consumption is one of the major public health threats the world has been facing so far. This study was performed to investigate the economic inequalities in tobacco consumption among women of reproductive ages at national and regional levels in Iran.

METHODS

We used data from 10,339 women of reproductive ages (18-49 years) who participated in Iran's 7th Non-Communicable Disease Risk Factor Surveillance (STEPS). Wagstaff normalized concentration index and decomposition method were applied to measure economic inequalities in first- and second-hand tobacco consumption and determine their corresponding contributory factors, respectively.

RESULTS

The prevalence of women's first-hand tobacco consumption, and their exposure to second-hand smoke in the home, and workplace were 3.6%, 28.3%, and 8.4%, respectively. First- and second-hand tobacco consumption was significantly more concentrated among low-economic women. Exposure to home second-hand smoke, education, and economic status had the largest contributions to the measured inequality in first-hand tobacco consumption (48.9%, 38.9%, and 30.8%, respectively). The measured inequality in women's secondhand smoke exposure at home was explained by their level of education (43.8%), economic status (30.3%), and residency in rural areas (18%), and at work by residency in rural areas (42.2%), economic status (38.8%), and level of education (32%). Our results also revealed diversity in the geographical distribution of inequalities in rural and urban areas and five regions of the country.

CONCLUSION

The present study highlighted the need for more enforcement of tobacco control rules and increasing tobacco taxes as general measures. Furthermore, there is a need for gender-sensitive initiatives at national and regional levels to educate, support, and empower low-economic women and households for tobacco cessation, and complying with restrictive smoking rules.

Exposure to secondhand smoke is associated with poor sleep quality among non-smoking university students in Bangladesh: a cross-sectional survey

Although secondhand smoke (SHS) exposure is predominant in Bangladesh, the adverse effect of SHS exposure on health-related behaviors, such as sleep quality, have remained an under-investigated area of the country's public health landscape. Therefore, the purpose of this study was to examine the association between SHS exposure and poor sleep quality among non-smoking university students in Bangladesh. A cross-sectional survey was carried out between May and September 2022. SHS exposure (main predictor variable) and other covariates (e.g., age, sex, etc.) were measured using a self-reported questionnaire and sleep quality (outcome variable) was measured via the Pittsburgh Sleep Quality Index. Multiple logistic regression models investigated the association between SHS exposure and poor sleep quality. The study included 390 students (mean age: 22 years, 53.8% male). Approximately 41.8% of the participants reported SHS exposure, and 50.5% had poor sleep quality. Students exposed to SHS were more likely to have poor sleep quality compared to their counterparts (AOR = 1.61; 95% CI 1.01, 2.58). Subgroup analysis revealed poor sleep quality was 2-times higher among male students exposed to SHS than those male students without SHS exposure (AOR = 2.03; 95% CI 1.05, 3.93). No association was found in female students. Findings from this study warrant increased awareness and public health initiatives on the implications of SHS on health behaviors, such as sleep quality, in non-smoking Bangladeshi university students.

Secondhand smoke exposure and associated factors among city residents living in multiunit housing in Bangladesh

BACKGROUND

Secondhand smoke (SHS) poses a high health risk to those living in multiunit housing (MUH) since it can easily spread from unit to unit and throughout the building's communal areas. MUH residents in Bangladesh are particularly vulnerable to SHS due to the absence of smoking restrictions within a housing complex. Therefore, this study aimed to assess the prevalence of SHS exposure and its associated factors among MUH residents living in seven divisional cities of Bangladesh- Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur.

METHODS

From April 2019 to November 2019, a cross-sectional survey was conducted with 616 MUH residents aged 18 or older who had been residing in MUH for at least two years in the seven divisional cities of Bangladesh. A multivariable logistic regression model was performed to determine the associated factors of SHS exposure.

RESULTS

In MUH complexes, more than half (54.9%) of the 616 respondents were exposed to SHS. The key factors positively associated with SHS exposure were females (aOR: 1.8, 95% CI:1.236-2.681), residents with a low monthly family income (aOR: 1.9, 95% CI: 1.162-3.220), those whose family members smoked (aOR: 2.4, 95% CI: 1.537-3.746), and Dhaka city residents (aOR: 1.9, 95% CI: 1.013-3.440).

CONCLUSIONS

This study revealed a high prevalence of SHS exposure among Bangladeshi MUH residents. Therefore, a smoking ban is needed in and around MUH complexes to protect non-smoking residents from SHS exposure.

Passive smoking as a risk factor among older adults: an ordered probability approach for Türkiye

Background/aim

Older adults represent a significant proportion of the population of many societies, and being one of the disadvantaged groups, they struggle with various difficulties in their social lives. Undoubtedly, passive smoking is one of these difficulties. Passive smoking among older adults, which is an important public health problem, is an issue that needs to be investigated. The aim of this study is to determine the relationship between the demographic and socio-economic characteristics of adults aged 60 and older in Türkiye and their exposure to secondhand smoke (SHS).

Methods

In this study, a microdata set of the 2016 and 2019 Turkey Health Survey conducted by the Turkish Statistical Institute (TUIK) was used. This survey was conducted by TUIK in the relevant years using a stratified sampling method to best represent the whole of Turkey. The study considered only demographic and socio-economic characteristics to investigate passive smoking. Since all the variables used in the study were categorical, the relationship between the dependent variable and the independent variables was first investigated using chi-square tests. In addition, since the dependent variable has an ordered-categorical probability form, the generalized ordinal logit model was used for the analysis of passive smoking and related factors.

Results

The rate of exposure to tobacco smoke of older adults who participated in the study in 2016 was 16%, while the rate of those who participated in the study in 2019 was 21%.

Conclusion

According to the findings of the study, older, uneducated, and uninsured smokers carry a more serious SHS risk. It may be beneficial for society for policy makers to carry out studies by considering these features a priority and focusing on policies in this context. Expanding smoke-free areas to cover older adult, increasing penalties as a deterrent, facilitating education, increasing state support for education, increasing education and public service announcements about tobacco harms, and facilitating social security are the main examples. This study's findings are crucial as a source of information for the development of policies and programs aimed at preventing the exposure of older adults to tobacco smoke.

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries

OBJECTIVE

Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors.

METHODS

Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 μg/m³.

RESULTS

Overall, median nicotine concentration was 0.85 μg/m³ (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 μg/m³ IQR: 0.32-6.34), where smoking was allowed (1.60 μg/m³ IQR: 0.68-7.63), with two or more residents who smoked (2.42 μg/m³ IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 μg/m³ IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 μg/m³ IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05).

CONCLUSIONS

SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

Status and correlates of home smoking bans after the implementation of the smoke-free legislation in public places: A survey in Chongqing

INTRODUCTION

Secondhand smoke exposure in many countries decreased dramatically after the implementation of smoke-free legislation in public places, but the exposure at home did not change to the same degree. The aim of this study was to describe the status and correlates of a home smoking ban in Chongqing, China.

METHODS

From June to August 2021, we selected two healthcare centers in the East, West, North, South and Middle regions of Chongqing. We investigated the family smoke-free situation in the selected region using a stratified random sampling method. A chi-squared test was performed to compare the totally and partially smoke-free homes, and a binary logistic regression model was used to analyze the correlates of smoke-free rules at home.

RESULTS

The study investigated 2121 families, among which 884 (41.7%) implemented a total ban on smoking at home. The covariates included age (OR=1.54; 95% CI: 1.18–2.01), living with children aged <14 years (OR=1.51; 95% CI: 1.20–1.90), no smokers in the family (OR=2.37; 95% CI: 1.78–3.17), awareness of the hazards of secondhand smoke (OR=1.30; 95% CI: 1.07–1.59), worrying about the impact of smoking in the presence of children on health (OR=1.92; 95% CI: 1.25–2.95), no difficulty (OR=1.34; 95% CI: 1.07–1.67) and confidence (OR=1.73; 95% CI: 1.41–2.13) in stopping others from smoking, no smoking rules in cars (OR=3.67; 95% CI: 2.58–5.22), and frequency of entertaining guests with cigarettes (OR=0.41; 95% CI: 0.28–0.59).

CONCLUSIONS

It is common for households in Chongqing to have smoking bans, especially those with children. If a family has members that are smokers, education researchers should pay more attention to the hazards of secondhand smoke on the health of family members, and to adopt more tobacco control measures and enhance the self-efficacy of implementing a home smoking ban. Helping smokers to quit is a vital way to decrease the hazards of cigarettes.

Association between secondhand smoke and peripheral arterial disease: a meta-analysis of cross-sectional studies

PURPOSE

The association between secondhand smoke (SHS) and peripheral arterial disease (PAD) was inconsistent and the studies were relatively scarce, hence, we conducted a meta-analysis of the association between SHS and PAD.

MATERIALS AND METHODS

We systematically searched three electronic databases (PubMed, EMBASE, and Web of Science), and calculated the pooled prevalence risk ratio (RR) and estimated standard error by random effect model from the meta-analysis. Furthermore, we performed a subgroup meta-analysis according to the location of SHS exposure.

RESULTS

We initially identified 502 articles from the electronic database, and 6 articles, cross-sectional data from 4 cross-sectional studies and 2 prospective cohort studies, were included in the meta-analysis. Among these six articles, two studies showed a significant correlation between SHS exposure and PAD, whereas no study showed a negative correlation between SHS exposure and PAD. In the meta-analysis, pooled prevalence showed a significant association between SHS exposure and PAD (RR = 1.23; 95% confidence interval [CI] 1.08-1.41; z = 3.02, p = 0.003). In the subgroup analysis based on location of SHS exposure, the prevalence RR of PAD at home was 1.30 (95% CI 1.14-1.49, Z-3.99, p < 0.0001). The prevalence RR in the subgroup of SHS exposure at work was not significant (RR = 0.89; 95% CI 0.55-1.44; z = 0.48, p = 0.63).

CONCLUSION

Exposure to SHS was significantly and positively associated with PAD. Moreover, we found a significant association between exposure to SHS and PAD at home, but the association was not significant at work.

Child marriage and exposure to secondhand smoke among women of childbearing age: evidence from a nationally representative study in India

Women in low-and-middle income countries (LMICs) are disproportionately exposed to secondhand smoke (SHS), particularly in the home environment. Girls married before the age of 18 are more likely to remain at home and may be at higher risk of SHS exposure. This paper investigates whether women who were married as child brides had a higher risk of SHS exposure than their peers who were married as adults in India, where both burden of smoking and child marriage are critical public health concerns. Data were obtained from the 2015-2016 wave of the nationally representative India National Family Health Survey and included 306,788 married women ages 18 to 35 years. We estimated bivariate and multivariate logistic regressions to obtain odds ratios in favor of SHS exposure. The prevalence of SHS exposure for those who were married as adults was 50.3% while that was 55.2% for those who were married before age 18. After controlling for sociodemographic characteristics, the adjusted odds of SHS exposure for those who were married as child were 1.06 (95% CI: 1.03, 1.09) times that of those who were married as adults. Findings of this study inform policies for coordinated efforts to eliminate child marriage and strengthen tobacco control.

Exposure to Secondhand Smoke: Inconsistency between Self-Response and Urine Cotinine Biomarker Based on Korean National Data during 2009-2018

This study aimed to estimate the secondhand smoke (SHS) exposure using urinary cotinine (UCo) to prove that the SHS exposure could not be properly assessed by self-reporting (SR). In total, 28,574 nonsmokers aged >19 years were selected from the Korean National Health and Nutrition Examination Survey data (2009-2018). First, changes in the annual concentration of UCo were analyzed, and the annual SHS exposure rates were measured based on SR and UCo from 2009 to 2018. Then, the average UCo concentration and UCo-measured SHS exposure rate were confirmed according to the subjects' characteristics. Finally, factors associated with the UCo-measured SHS exposure rate were identified based on multiple regression analysis. The findings showed that the annual UCo concentrations and self-reported SHS exposure rates dropped significantly over the past decade. In contrast, the UCo-measured SHS exposure rate indicated that >80% of nonsmokers are still exposed to SHS. Moreover, we found vulnerable groups using UCo-measured SHS exposure rate. In particular, the self-reported SHS exposure at home and in workplaces and house type was highly associated with SHS exposure. Thus, these findings indicate that the actual SHS exposure could not be properly assessed by SR and should be verified using a biomarker, such as UCo. Considering that even a short-term exposure can be harmful to health, the goal of the policy should be to keep cotinine concentration as low as possible.

Second-hand smoke exposure and its determinants among nonsmoking adolescents residing in slum areas of Bhubaneswar, India

Background

Second-hand exposure (SHS) is a significant public health problem and accounts for over 600,000 deaths among non smokers worldwide every year. The study aimed to estimate the prevalence and determinants of SHS exposure among nonsmoking adolescents residing in slum areas of Bhubaneswar, India.

Methods

Multistage cluster random sampling was used to select 259 nonsmoking adolescents from eleven slum areas. We used descriptive statistics to determine the prevalence of SHS exposure and inferential statistics using multivariable logistic regression model to identify factors associated with SHS exposure.

Results

Of the 259 adolescent participants, 67 (25.9%) were exposed to SHS inside home and 97 (37.5%) were exposed outside home. About 47.5% adolescents were exposed to anti-smoking media messages and 22.8% were unaware of the harmful effects of exposure to SHS. SHS exposure inside home was associated with smokeless tobacco use (adjusted odds ratio [aOR]: 10.64; 95% confidence interval (CI): 2.57-43.48), illiteracy of father (aOR: 5.40; 95% CI: 1.51-19.32), non-exposure to antismoking media messages (aOR: 3.53; 95% CI: 1.06-11.72), and absence of knowledge regarding harmful effects of SHS (aOR: 3.72; 95% CI: 1.15-12.05). Also, variables like male gender (aOR: 10.31; 95% CI: 4.50-23.81), smokeless tobacco use (aOR: 2.43; 95% CI: 1.05-5.65), illiteracy of father (aOR: 4.58; 95% CI: 1.23-17.14), and non-exposure to antismoking media messages (aOR: 4.04; 95% CI: 1.49-10.89) had increased SHS exposure outside home.

Conclusion

The findings underscore the urgent need to implement comprehensive smoke-free policies to reduce SHS exposure among slum adolescents.

Secondhand Smoking Among Children in Rural Households: A Community Based Cross-Sectional Study in Bangladesh

Objectives

This study aimed to determine the factors associated with reducing exposure to secondhand smoke among children in households of rural Bangladesh.

Methods

A cross-sectional study of 410 smokers and non-smokers, in 6 villages of Munshigonj district was conducted. Data were collected randomly using a self-administrative questionnaire. Differences between variables were assessed using Chi-square or Fisher's exact test (as appropriate). Univariate and multivariate logistic regression models were used to investigate associations. All results were presented as unadjusted and adjusted odds ratios with a 95% confidence interval. The level of statistical significance was reached when p < 0.05.

Results

A smoker in the household was determined to be a risk factor associated with exposure of other household members to secondhand smoke (p < 0.001). Higher education, strict implementation of household smoke-free rules, a higher influence of social norms and culture, as well as moderate knowledge on exposure to secondhand smoke were considered as preventive factors associated with exposure of others in the home to secondhand smoke.

Conclusion

Exposure to secondhand smoke is an extensive and preventable risk factor for children, and reducing exposure to secondhand smoke will have a largely positive effect in the community. An effective public health intervention model may reduce secondhand smoking.

Urban-rural differences in related factors of second-hand smoke exposure: a cross-sectional study of adult non-smokers in Northeast China

BACKGROUND

this study aims to examine the different factors associated with exposure to second-hand smoke (SHS) between urban and rural areas and to facilitate a reduction in SHS exposure in Northeast China.

METHODS

a multistage stratified random cluster sampling design was used in this 2012 cross-sectional survey in Jilin Province, Northeast China. A total of 13 056 non-smokers were included in this study. The Rao-Scott χ2 test, multiple regression analysis and discriminant function analysis were used.

RESULTS

the SHS prevalence among adult non-smokers was 60.2% in urban areas and 61.8% in rural areas. In urban areas, males were more likely to be exposed to SHS, while in rural areas, females were more likely to be exposed to SHS (P < 0.05). Increasing age was a protective factor against SHS exposure both in urban and rural areas (P < 0.05). Tobacco-relevant knowledge was positively associated with SHS exposure. Among urban non-smokers, high education level and engagement in manual work were risk factors for SHS exposure, and retired subjects were less likely to be exposed to SHS (P < 0.01).

CONCLUSIONS

non-smokers from urban and rural areas differ in the factors associated with SHS exposure, and urban-rural differentials, especially with regard to gender, should be considered in tobacco control.

Trends and patterns of second-hand smoke exposure amongst the non-smokers in India-A secondary data analysis from the Global Adult Tobacco Survey (GATS) I & II

Objectives

The primary objective of the present study was to compare the prevalence and patterns of second-hand smoke (SHS) exposure in the home, workplace, public places, and at all three places amongst the non-smoker respondents between the two rounds of Global Adult Tobacco Survey (GATS) in India. The secondary objectives were to assess the differences in various factors associated with SHS exposure among non-smokers.

Study design

This secondary data analysis incorporated data generated from the previous two rounds of the cross-sectional, nationally representative GATS India, which covered 69,296 and 74,037 individuals aged 15 years and above. Exposure to the SHS at home, workplace, and public places amongst the non-smokers were the primary outcome variables. Standard definitions of the surveys were used.

Results

The overall weighted prevalence of exposure to SHS amongst the non-smokers inside the home and public places reduced. In contrast, the prevalence in the workplace increased marginally in round II compared to I. The proportion of adults who were exposed to SHS at all three places did not change much in two rounds of surveys. A decrease in the knowledge of the respondents exposed to SHS at home and public places was observed about the harmful effects of smoking in round II. Age, gender, occupation, place, and region of respondents were found to be significant determinants of SHS exposure at all the three places on multinomial logistic regression analysis.

Conclusions

The study calls for focused interventions in India and stringent implementation of anti-tobacco legislation, especially in the workplaces for reducing the exposure to SHS amongst the non-smokers and to produce encouraging and motivating results by next round of the survey.

Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement

The rate of exposure to second-hand smoke (SHS) is relatively high in several countries, including Vietnam, and health issues related to SHS have worsened in recent years, especially for pregnant women and their infants. Enhancement of knowledge, attitude, and practice (KAP) scores of pregnant women in Vietnam could raise practical interventions to protect their health and reduce complications of SHS. A cross-sectional study of 432 pregnant women who came to the Obstetrics Department of Bach Mai Hospital, Hanoi, Vietnam for antenatal care was conducted in 2016 to collect information about their KAP related to SHS. Composite mean scores from survey questions assessing their KAP were calculated on a 10-point scale, finding mean scores of 4.19, 7.45, and 4.30, respectively. Higher scores indicated better knowledge, attitude, and practice. Generalized linear models identified that age, occupation, living place, and sources of information were associated with SHS-related KAP. Findings from this study indicate that suitable programs related to SHS should be implemented to improve and reinforce health literacy to both mothers and smokers to reduce the harmfulness of smoking on women and their infants' health.

Prevalence, knowledge and education level associated with secondhand smoke exposure among never-smoking women in Inner Mongolia, Northern China

INTRODUCTION

Currently, 40.7% of women in China are exposed daily to secondhand smoke (SHS); however, research on SHS exposure among women in Inner Mongolia is limited. We aimed to investigate the prevalence of SHS exposure, knowledge about the harms of smoking and SHS, and the association between sociodemographic factors and SHS exposure among never-smoking women in Inner Mongolia, Northern China.

METHODS

This study was based on a survey of chronic disease and nutrition conducted among Chinese adults in Inner Mongolia during 2015, a cross-sectional study with multi-stage stratified cluster sampling. A total 2293 never-smoking women aged ≥18 years were included in the study. Face-to-face interviews were used to collect data of sociodemographic characteristics, SHS exposure, and related knowledge. Questionnaires were administered by trained investigators, and the reliability and validity of the questionnaires were high. We performed descriptive analysis and logistic regression. All analyses were performed by IBM SPSS Statistics version 19.0.

RESULTS

Of the total, 69% of young women in Inner Mongolia in 2015 reported that they were exposed to SHS, the highest rate in comparison with older and middle-aged women. A total 49.90% of young women reported being exposed to SHS every day. Respondents had insufficient knowledge regarding smoking and SHS exposure. Compared with older never-smoking women, their young counterparts had a higher risk of SHS exposure, with an odds ratio of 2.143 (95% CI: 1.647–2.787). Education level and ethnicity were also significantly associated with SHS exposure.

CONCLUSIONS

This study showed that the highest rates of SHS exposure were among young never-smoking women in Inner Mongolia, and women with high education levels were less likely to be exposed to SHS. Improved public health information is needed that prioritizes SHS exposure among young women in Inner Mongolia. Health education regarding SHS exposure should be widely implemented throughout communities in this region.

Second-Hand Smoke Exposure Among Coronary Heart Disease Patients

Purpose

The objectives of this study were to assess second-hand smoke (SHS) exposure among coronary heart disease (CHD) patients at home, in transportation, workplace, public and social places; to examine the demographic factors that predict SHS exposure; and to investigate the relationship between SHS exposure and CHD complications, age at the time of diagnosis, and number of admissions in the last year.

Patients and Methods

A descriptive cross-sectional design was used with a convenient sample of 400 CHD patients from three hospitals in Jordan. A modified version of the Smoking Scale for Adults (SS-A) was used.

Results

The percentage of SHS exposure was 64% in public places, 51.5% in social places, 48.5% in the household, 31% in transportation, while it was only 14.8% in the workplace. In addition, being male, employed, having a younger age and lower education significantly predicted higher exposure to SHS. Exposure to SHS was positively associated with CHD complications and the number of admissions, while it was negatively associated with the age at diagnosis with CHD.

Conclusion

Collaboration is needed among all health care sectors to adopt educational strategies about SHS exposure and to activate policies to prohibit smoking in public places.

Secondhand smoke exposure at home and public places among smokers and non-smokers in India: findings from the Global Adult Tobacco Survey 2016-17

Secondhand smoke (SHS) accounts for 0.9 million deaths and 24 million disability adjusted life years (DALYs) annually. Nearly 30% of adults in India are exposed to SHS in India. To reduce SHS exposure, India enacted a smoke-free law in 2003 under which smoking in public places is banned. However, the compliance to this law has been variable in several assessments in the country. A better understanding of the nature and extent of SHS exposure can help inform better implementation of national smoke-free policies. The Global Adult Tobacco Survey (GATS) India 2016-17 collects information on the self-reported prevalence of SHS exposure in homes, workplaces, government buildings, restaurants, public transportation and health care facilities among adults (> 15 years of age).The present study utilized the GATS India 2016-17 dataset to provide estimates of SHS exposure among adults in India in homes, workplace and other public places, across gender and age groups and among the overall population and non-smokers. Weighted analysis was carried out. In the overall population, exposure to SHS in the home was 29.2%, more among young females. In workplaces, exposure to SHS was 29.2% overall, significantly higher among males (32.5%) compared to females (17.8%). In public buildings such as health care facilities and government offices, SHS exposure was less with 15.6% and 21.2% respectively. SHS exposure was high in restaurants with 39.3% overall, significantly higher among males (43.2%) compared to females (22.2%). Similar results were also seen among non-smokers. A large proportion of adults in India, both smokers and non-smokers are exposed to SHS in their homes, workplaces and other public places, especially restaurants, workplaces and public transportation. Females are more exposed to SHS at home, whereas males are more exposed in public places including workplaces. High SHS exposure among youths is also a concern. Stricter enforcement of legislation is required to ensure 100% smoke-free homes, public places and workplaces and reduce SHS exposure.

Tobacco exposure is a menace among women: – A cross-sectional study in a rural area of West Bengal, India

Context:

In India, despite implementation of the strategies under National Tobacco Control Programme [NTCP], women are easily exposed to tobacco consumption that is smokeless (SLT) and smoking tobacco along with second-hand smoke [SHS], making them highly susceptible to tobacco hazards.

Aims:

This study aimed to assess the exposure of women to tobacco use and SHS at home and to elicit predictors of tobacco exposure in a rural community of West Bengal.

Methodology:

A community based, cross-sectional study was conducted among 176 women aged 18 years and above. Data was collected by cluster sampling technique (16*11) using predesigned pretested structured schedule. Tobacco exposure was measured using a composite score including tobacco consumption and SHS at home.

Results:

Tobacco use (SLT and smoking tobacco) was significantly associated with educational attainment [AOR = 2.12], occupation [AOR = 2.13] and knowledge [AOR = 1.22]. There was significant association between SHS at home with knowledge [AOR = 1.16] and attitude of the study subjects. [AOR = 1.93]. Overall tobacco exposure (SLT, smoking tobacco, and SHS), was found to be 79.5%. Significant association was found between high tobacco exposure with age group [AOR = 3.82], educational attainment [AOR = 1.74] and knowledge regarding hazards of tobacco [AOR = 1.31].

Conclusion:

Prevalence of SLT use as well as exposure of women to SHS at home is unexpectedly high in the study population. Women specific information and education campaigns focusing on tobacco hazards (both tobacco use and SHS) through existing primary health care infrastructure should be strategized under NTCP.

Reducing Children's Exposure to Passive Smoking in Rural Communities of Bangladesh: An Application of the Theory of Planned Behavior

BACKGROUND

Passive smoking prevalence is high in Bangladesh. We aimed to explore the association of the theory of planned behavior constructs to reduce the exposure of passive smoking among children in the rural area of Bangladesh.

STUDY DESIGN

Cross-sectional study.

METHODS

Overall, 410 adults had been taken at random following a self-administrative questionnaire. Data had been collected from six villages of Munshiganj district of Bangladesh from Jul to Oct 2018. Descriptive statistics were applied to describe socio-demographic characteristics. Inter correlations coefficient was done to observe the correlation, differences between demographic and dependent variables were assessed for significance using the Chi-square or Fisher's exact test as appropriate. Univariate and multivariate logistic regression models were used to investigate the association between the theory of planned behavior constructs and exposure of passive smoking among both smoker and nonsmoker groups. All results were presented as unadjusted and adjusted odds ratio (OR) with 95% confidence intervals (CIs). A P-value ≤0.05 was considered as statistically significant.

RESULTS

Attitude (OR 0.681, 95% CI: 0.498, 0.931) among smoker and intention (OR 0.226, 95% CI: 0.081, 0.633) was found statistically significant constructs (P<0.001) among non-smoker to reduce the exposure. Additionally, the prevalence of passive smoking exposure was found 36.6% (95% CI: 0.32%, 0.41%) on average 40% among males and 28.33% among females.

CONCLUSION

The theory of planned behavior constructs is useful to reduce the exposure of passive smoking among children, which may be useful in the future to design interventions of controlling passives smoking exposure.

Knowledge and risk perceptions of Israelis towards combustible cigarettes: the need for immediate remedial action

BACKGROUND

Devastation from the tobacco epidemic continues, with strong government tobacco control policy absent in most countries. Knowledge of the full scope of tobacco harm in populations may form the basis for healthier behavior, de-normalization of smoking, and a consensus about necessary public policy. However, many populations may be poorly-informed about the risks, and this ignorance may undermine both effective policy-making and implementation of tobacco control policies. We present knowledge and risk perceptions about smoking tobacco smoke exposure in Israel.

METHODS

A nationally-representative phone survey was conducted in Israel (n = 505; response rate = 61%). We assessed knowledge about active and passive smoking using four questions, three of which addressed knowledge about harm, and one of which addressed knowledge of tobacco-related harm relative to knowledge of harm due to traffic accidents. The three questions which addressed knowledge of harm were combined into a composite score. We also asked four risk perception questions concerning tobacco smoke exposure, which were measured on a 7-point Likert scale and then combined. Multivariable logistic regression and linear models were used to identify whether smoking status or socio-demographic variables were associated with knowledge of harm, comparative knowledge of harm, and risk perceptions.

RESULTS

Just two in five respondents, and one in five respondents who were current smokers, accurately answered three simple questions about harms of smoking. Fewer than three in ten respondents, and fewer than one in five smokers, knew that smoking causes more damage than traffic accidents. Many (30.3%) were unaware that tobacco smoke exposure causes both lung cancer and heart disease, 27.7% did not know that smoking both shortens life and injures quality of life, and 31.1% did not know that smoking-attributable health problems will afflict all or most heavy smokers. Overall, risk perceptions regarding tobacco smoke exposure were high (mean = 24.5, SD:4.5, on a scale of 7-28, with 28 the indicating highest level). Smoking status was consistently associated with lower levels of knowledge, comparative knowledge, and risk perceptions, with current smokers having the lowest levels of knowledge and the lowest risk perceptions.

CONCLUSIONS

Like many others, Israelis, and particularly Israeli smokers, do not fully grasp tobacco's true dangers. Effective communication of the full range of tobacco risks to the public, with a focus on communication with smokers, is an essential component of comprehensive tobacco control policy.

Secondhand smoke (SHS) exposure at home and at the workplace among non-smokers in Malaysia: Findings from the Global Adult Tobacco Survey 2011

INTRODUCTION

Understanding the prevalence of secondhand smoke (SHS) exposure and the associated factors is beneficial for the formulation of effective measures to reduce exposure to SHS. The purpose of this study was to determine SHS exposure at home and workplace, and its associated factors among non-smoker Malaysian adults.

METHODS

Data were extracted from the Global Adult Tobacco Survey-Malaysia (GATS-M) that involved a representative sample of 5112 Malaysian adults. Logistic regression analyses were performed to examine the association between SHS exposure, sociodemographic factors, knowledge on the danger of SHS, and smoking restrictions at home and at work among non-smokers.

RESULTS

Among non-smoker Malaysians, age ≥15 years, 27.9% (equivalent to approximately 4.21 million non-smokers) and 33.9% (equivalent to approximately 1.37 million non-smokers) reported that they were exposed to SHS at home and the workplace, at least once a month, respectively. Women (AOR=2.12, 95% CI: 1.61-2.78), young individuals (AOR=3.06, 95% CI: 1.48-6.33), Malays (AOR=2.39, 95% CI: 1.56-3.64) or other Bumiputra ethnic groups (AOR=2.40, 95% CI: 1.39-4.19) and those who worked as other than government employees were more likely to report SHS exposure at home (non-government employee: AOR=1.88, 95% CI: 1.06-3.36). Respondents with a total smoking restriction at home did not report any SHS exposure at home. Similarly, those whose workplace had smoking restrictions were less likely to report SHS exposure at the work compared to their counterparts whose workplace had partial (AOR=3.08, 95% CI: 1.84-5.15) or no smoking restrictions (AOR=15.33, 95% CI: 6.75-34.86).

CONCLUSIONS

A substantial proportion of Malaysian adults were exposed to SHS at home and at work. The findings emphasize the need for policies on smoking restrictions at work and the need to promote the adoption of a completely smoke-free home, among the Malaysian population.

Socio-economic inequalities in secondhand smoke exposure at home in the context of mother-child pairs in Bangladesh

OBJECTIVES

This study aimed to examine socio-economic disparities in mother-child pairs' self-reported and cotinine-measured secondhand smoke (SHS) exposure at home.

STUDY DESIGN

This is a cross-sectional study.

METHODS

This study was conducted in the Rajshahi district of Bangladesh from May to July 2017. A total of 541 mother-child pairs were interviewed for self-reported measured SHS; cotinine-measured saliva test was performed on 263 mothers and 236 children. Mother-child pairs' SHS exposure at home was the outcome of interest.

RESULTS

Overall self-reported prevalence of SHS exposure at home was 49.0%. Self-reported SHS exposure among mothers (50.2%) and children (51.3%) were lower than the prevalence rate of cotinine-measured exposure for mothers (60.5%) and their children (58.9%). Maternal rich bands of wealth were found to be associated with lower likelihood of self-reported (adjusted odds ratio [AOR] = 0.59, 95% confidence interval [CI] = 0.35-0.99) and cotinine-measured SHS exposure among mothers (AOR = 0.17, 95% CI = 0.08-0.37). Maternal rich bands of wealth were also found to be associated with lower likelihood of cotinine-measured SHS exposure among children (AOR = 0.11, 95% CI = 0.07-0.26).

CONCLUSIONS

Socio-economic inequalities exist in exposure to SHS at home. Interventional approaches aimed at reducing SHS at home are urgently needed at public health and healthcare service level, with special focus given to the socioeconomically disadvantaged groups.

Correlates of secondhand smoke exposure among nonsmoking youth (15-24 years) in India: Secondary analysis from Global Adult Tobacco Survey, 2009-10

Introduction:

Nonsmoking youth form a high-risk group and are at increased risk of ill-effects caused due to secondhand smoke (SHS). The objective is to determine the prevalence and correlates of SHS exposure among the nonsmoking youth in India from global adult tobacco survey (GATS), 2009–10.

Methods:

Secondary data analysis of GATS, 2009–10 was done to find the correlates of SHS at three different settings – house, workplace - indoor, and public place. All the sociodemographic variables were tested for association with SHS exposure using multivariate analysis. Prevalence ratio with 95% confidence interval [CI] was used to report the risk.

Results:

The prevalence of SHS was 48.6% (95% CI: 47.7%–49.5%) at house, 25.5% (95% CI: 23.5%–27.6%) at workplace - indoors, and 42.7% (95% CI: 41.7%–43.7%) at public places. SHS exposure among females was found to be higher at house; youth living in rural area were found at increased risk to SHS at both household and public places; and inverse relationship was seen between SHS exposure and education level at both household and workplace - indoors. Overall, the study showed that smokeless tobacco users were at increased risk of SHS exposure at all the three settings.

Conclusion:

Being female, living in rural area, lower education status, lower socioeconomic status, and use of smokeless tobacco were found to be associated with SHS exposure among nonsmoking youth in India.

Social Inequalities in Secondhand Smoke Among Japanese Non-smokers: A Cross-Sectional Study

BACKGROUND

Secondhand smoke (SHS) causes many deaths. Inequalities in SHS have been reported in several countries; however, the evidence in Asian countries is scarce. We aimed to investigate the association between socioeconomic status (SES) and SHS at home and the workplace/school among non-smoking Japanese adults.

METHODS

Cross-sectional data from the Miyagi Prefectural Health Survey 2014 were analyzed. Self-reported questionnaires were randomly distributed to residents ≥20 years of age and 2,443 (92.8%) responded. The data of the 1,738 and 1,003 respondents were included to the analyses for SHS in the past month at home and at the workplace/school, respectively. Ordered logistic regression models considering possible confounders, including knowledge of the adverse health effects of tobacco, were applied.

RESULTS

The prevalence of SHS at home and the workplace/school was 19.0% and 39.0%, respectively. Compared with ≥13 years of education, odds ratios (ORs) and 95% confidence intervals (CIs) for SHS at home were 1.94 (95% CI, 1.42-2.64) for 10-12 years and 3.00 (95% CI, 1.95-4.60) for ≤9 years; those for SHS at the workplace/school were 1.80 (95% CI, 1.36-2.39) and 3.82 (95% CI, 2.29-6.36), respectively. Knowledge of the adverse health effects of tobacco was significantly associated with lower SHS at home (OR 0.95; 95% CI, 0.91-0.98) but it was not associated with SHS at the workplace/school (OR 1.02; 95% CI, 0.98-1.06).

CONCLUSIONS

Social inequalities in SHS existed among Japanese non-smoking adults. Knowledge about tobacco was negatively associated with SHS at home but not at workplace/school.

Environmental Tobacco Smoke Exposure and Smoke-Free Rules in Homes among Socially-Disadvantaged Populations in Poland

This study aims to examine the prevalence of exposure to environmental tobacco smoke (ETS) in homes among socially-disadvantaged populations in Poland, along with the prevalence and correlates of voluntary implementation of smoke-free home rules. Data concerning 1617 respondents from a cross-sectional study completed in the Piotrkowski District were used, which was part of the "Reducing Social Inequalities in Health" program. Overall, 19.4% of the respondents declared exposure to ETS at home. In the non-smokers group, 15.5%, including 6.6% males and 18.3% females, were exposed to ETS in their place of residence (p < 0.0001). Complete smoke-free rules were adopted by 22.1% of the study participants. Two factors, smoker status and lack of ETS-associated health risk awareness, were found to be significantly associated with no adoption of total smoking bans at home. Socially-disadvantaged non-smokers, especially females from rural areas in Poland, still constitute a large population exposed to ETS in their homes-a challenge from the perspective of public health. Focused efforts are required to address social norms around exposing others to ETS.

Association between passive smoking and mental distress in adult never-smokers: a cross-sectional study

OBJECTIVE

Many studies have suggested exposure to secondhand smoke (SHS) is a risk factor for various somatic diseases, but only few studies based on small sample size or specific groups have explored the association between passive smoking and mental distress. We performed this study to examine the relationship between passive smoking and mental distress in adult never-smokers of north-east China.

METHODS

Multistage, stratified random cluster sampling design was used in this cross-sectional study in 2012. A total of 12 978 never-smokers from Jilin, north-east China, were included. Data on passive smoking and baseline characteristics were collected by face-to-face interviews. The 12-item General Health Questionnaire (GHQ-12) was used to measure mental health status. Rao-Scott χ(2) tests were used to compare the prevalence between different groups; multivariable logistic regression was used to assess the association between passive smoking and mental distress, and Spearman rank analysis was employed to assess the correlation between passive smoking and GHQ-12 scores.

RESULTS

The estimated prevalence of mental distress among never-smokers in Jilin province is 24.5%, and the estimated prevalence of passive smoking among the mental distressing group is 65.0%. After adjusting for gender, age, region, body mass index (BMI), occupation, marriage, education, drinking status and family monthly income per capita, passive smoking conferred a risk for mental distress (adjusted OR=1.26, 95% CI 1.13 to 1.40). A high proportion of adults, especially women, were passive smokers at home, but for men, passive smoking was more common at workplace. The more frequently participants exposed to SHS, the higher GHQ-12 scores they got.

CONCLUSIONS

Passive smoking is an important risk factor for mental distress in never-smokers of Jilin province, which reminds Chinese government of increasing the awareness of public health and take measure to prevent SHS, especially with regard to SHS exposure at home and workplace.

Factors associated with secondhand smoke exposure in different settings: Results from the German Health Update (GEDA) 2012

BACKGROUND

The ubiquity of secondhand smoke (SHS) exposure at home or in private establishments, workplaces and public areas poses several challenges for the reduction of SHS exposure. This study aimed to describe the prevalence of SHS exposure in Germany and key factors associated with exposure. Results were also differentiated by place of exposure.

METHODS

A secondary data analysis based on the public use file of the German Health Update 2012 was conducted (n = 13,933). Only non-smokers were included in the analysis. In a multivariable logistic regression model the factors associated with SHS exposure were calculated. In addition, a further set of multivariable logistic regressions were calculated for factors associated with the place of SHS exposure (workplace, at home, bars/discotheques, restaurants, at the house of a friend).

RESULTS

More than a quarter of non-smoking study participants were exposed to SHS. The main area of exposure was the workplace (40.9 %). The multivariable logistic regression indicated young age as the most important factor associated with SHS exposure. The odds for SHS exposure was higher in men than in women. The likelihood of SHS exposure decreased with higher education. SHS exposure and the associated factors varied between different places of exposure.

CONCLUSIONS

Despite several actions to protect non-smokers which were implemented in Germany during the past years, SHS exposure still remains a relevant risk factor at a population level. According to the results of this study, particularly the workplace and other public places such as bars and discotheques have to be taken into account for the development of strategies to reduce SHS exposure.

Environmental tobacco smoke exposure and health disparities: 8-year longitudinal findings from a large cohort of Thai adults

BACKGROUND

In rich countries, smokers, active or passive, often belong to disadvantaged groups. Less is known of tobacco patterns in the developing world. Hence, we seek out to investigate mental and physical health consequences of smoke exposure as well as tobacco-related inequality in transitional middle-income Thailand.

METHODS

We studied a nationwide cohort of 87,151 middle-aged and older adults that we have been following for eight years (2005-2013) for emerging chronic diseases. Logistic regression was used to identify attributes associated with passive smoke exposure. Longitudinal associations between smoke exposure and wellbeing (SF-8) or psychological distress (Kessler 6) were investigated with multiple linear regression or multivariate logistic regression analysis.

RESULTS

A high proportion of cohort members, especially females, were passive smokers at home and at public transport stations; males were more exposed at workplace and recreational places. We observed a social gradient with more passive smoking in poorer people. We also observed a dose response relationship linking graded smoke exposures (current, former, passive, non-exposed) to less wellbeing and more psychological distress (p-trend < 0.001). Female smokers in general had less wellbeing and more distress.

CONCLUSION

Our findings add to current knowledge on the impact of active and passive smoking on health in a transitional economy. Promotion of smoking cessation programs both in public and at home could also potentially reduce adverse disparities in health and wellbeing in middle and lower income settings such as Thailand.

Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries

Introduction:

In high-income countries, secondhand smoke (SHS) exposure is higher among disadvantaged groups. We examine socioeconomic inequalities in SHS exposure at home and at workplace in 15 low- and middle-income countries (LMICs).

Methods:

Secondary analyses of cross-sectional data from 15 LMICs participating in Global Adult Tobacco Survey (participants ≥ 15 years; 2008–2011) were used. Country-specific analyses using regression-based methods were used to estimate the magnitude of socioeconomic inequalities in SHS exposure: (1) Relative Index of Inequality and (2) Slope Index of Inequality.

Results:

SHS exposure at home ranged from 17.4% in Mexico to 73.1% in Vietnam; exposure at workplace ranged from 16.9% in Uruguay to 65.8% in Bangladesh. In India, Bangladesh, Thailand, Malaysia, Philippines, Vietnam, Uruguay, Poland, Turkey, Ukraine, and Egypt, SHS exposure at home reduced with increasing wealth (Relative Index of Inequality range: 1.13 [95% confidence interval [CI] 1.04–1.22] in Turkey to 3.31 [95% CI 2.91–3.77] in Thailand; Slope Index of Inequality range: 0.06 [95% CI 0.02–0.11] in Turkey to 0.43 [95% CI 0.38–0.48] in Philippines). In these 11 countries, and in China, SHS exposure at home reduced with increasing education. In India, Bangladesh, Thailand, and Philippines, SHS exposure at workplace reduced with increasing wealth. In India, Bangladesh, Thailand, Philippines, Vietnam, Poland, Russian Federation, Turkey, Ukraine, and Egypt, SHS exposure at workplace reduced with increasing education.

Conclusion:

SHS exposure at homes is higher among the socioeconomically disadvantaged in the majority of LMICs studied; at workplaces, exposure is higher among the less educated. Pro-equity tobacco control interventions alongside targeted efforts in these groups are recommended to reduce inequalities in SHS exposure.

Implications:

SHS exposure is higher among the socioeconomically disadvantaged groups in high-income countries. Comprehensive smoke-free policies are pro-equity for certain health outcomes that are strongly influenced by SHS exposure. Using nationally representative Global Adult Tobacco Survey (2008–2011) data from 15 LMICs, we studied socioeconomic inequalities in SHS exposure at homes and at workplaces. The study showed that in most LMICs, SHS exposure at homes is higher among the poor and the less educated. At workplaces, SHS exposure is higher among the less educated groups. Accelerating implementation of pro-equity tobacco control interventions and strengthening of efforts targeted at the socioeconomically disadvantaged groups are needed to reduce inequalities in SHS exposure in LMICs.

Smoke-free homes and home exposure to secondhand smoke in Shanghai, China

Few studies have examined home exposure to secondhand smoke (SHS) in China. This study aimed to document: (1) the prevalence and correlates of exposure to SHS in homes (in adult non-smokers) in Shanghai, and (2) enforcement of rules, harm reduction behaviors, and self-efficacy for maintaining smoke-free homes in Shanghai. A total of 500 participants were recruited using a multistage proportional random sampling design in an urban and suburban district to complete a survey. Among the total 355 nonsmokers, 127 (35.8%) participants reported being exposed to SHS in the past 7 days. Participants living with smokers in the home, with no smoking restriction at home, and having children younger than 18 were more likely to be exposed to SHS at home. Higher self-efficacy in maintaining a smoke-free home was negatively associated with home SHS exposure. Having visitors who smoke was the greatest policy enforcement challenge. Ineffective measures such as opening windows were more commonly used in homes with partial bans. Educational initiatives to protect against SHS exposure in the home should promote smoke-free homes, address challenges to implementing such policies, and address misconceptions regarding the effectiveness of supposed harm reduction behaviors.